本文主要是介绍Creating OpenAI Gym Environment from Map Data，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
题意：从地图数据创建 OpenAI Gym 环境
问题背景：
I am just starting out with reinforcement learning and trying to create a custom environment with OpenAI gym. However, I am stumped with trying to create an environment (with roads and intersections) from map data, say Google Maps.
我刚刚开始学习强化学习，并尝试使用 OpenAI Gym 创建一个自定义环境。然而，我在尝试从地图数据（比如 Google 地图）创建一个包含道路和交叉口的环境时遇到了困难。
Would appreciate any help I can get.
任何帮助我都会非常感激。
问题解决：
The best way that I have found would be to use osmnx to have your map data ready in a graph format. It allows easy access of nodes that make up a street map in a graph or geopandas form. This data can then be used to drive the game logic. With regards to rendering, external rendering tools like PyGame can then be used.
我发现的最佳方法是使用 `osmnx` 将地图数据准备成图形格式。它允许以图形或 geopandas 形式轻松访问构成街道地图的节点。然后，这些数据可以用于驱动游戏逻辑。至于渲染，可以使用像 PyGame 这样的外部渲染工具。
这篇关于Creating OpenAI Gym Environment from Map Data的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
